
Parameter-Free and Nonparametric Tolerance Limits : The Exponential Case.
Purchase
Purchase Print Copy
Format | List Price | Price | |
---|---|---|---|
Add to Cart | Paperback39 pages | $15.00 | $12.00 20% Web Discount |
The development of exact parameter-free tolerance intervals based on the first [r]-ordered observations from a sample of size [n] from an exponential distribution. The authors examine various criteria for goodness of tolerance intervals, as well as the asymptotic behavior and certain optimum properties of these intervals. Comparisons are made between these intervals and the nonparametric tolerance intervals. The paper also discusses the effect of assuming an exponential distribution, when in fact the distribution is a mixture of two exponentials. 39 pp. Ref.
This report is part of the RAND Corporation Paper series. The paper was a product of the RAND Corporation from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.
This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.
The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.